Required: • Design, develop, deploy, and maintain machine learning solutions focusing on time series forecasting and regression modeling for financial planning and decision-making. • Operationalize ML models at scale using MLOps best practices. • Develop scalable production-grade data and ML pipelines across the entire ML cycle. • Support the implementation of ML pipelines ensuring robust CI/CD, reproducibility, and model governance. • Leverage AWS SageMaker for model development, training, deployment, and lifecycle management. • Develop, schedule, and orchestrate data and ML workflows using Airflow. • Monitor model performance, detect model drift, and implement retraining strategies. • Ensure data quality, feature engineering, and preprocessing of large, complex financial datasets. • Drive a culture of quality for all ML practitioners, maintain data security, integrity and quality. • Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field. Preferred: • Knowledge of Snowflake is a plus. • Knowledge of PlanIQ (Anaplan) is a plus. • Familiarity with additional AWS services (e.g., Lambda, ECS, CloudWatch) and infrastructure-as-code tools is a plus. • Solid understanding of cloud platforms, containerization, and version control (e.g., Docker, Git). • Willingness to learn and understand complex and multidisciplinary business problems and concepts related to booking.com business operations especially in finance. • 'Can do' attitude and proactive approach. • Excellent English communication skills, both written and verbal.